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https://issues.apache.org/jira/browse/LOG4J2-163?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13609888#comment-13609888
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Remko Popma commented on LOG4J2-163:
------------------------------------
I compared performance of log4j2-async with log4j-1.x and logback:
Log4j2-async is significantly faster, especially in multi-threaded scenarios.
1 thread: 20% faster, 2 threads: 45% faster, 4 threads: 2.5x faster, 8 threads:
3.2x faster
Throughput in logged messages per second:
____________________________ 1 thread 2 threads 4 threads
8 threads
Log4j2: All async (SysClock) 2,652,412 909,119 776,993 516,365
Log4j2: Async Appender _____ 1,713,429 603,019 331,506 149,408
Log4j1: Async Appender _____ 2,239,664 494,470 221,402 109,314
Logback: Async Appender ____ 2,206,907 624,082 307,500 160,096
Log4j2: Sync 273,536 136,523 67,609 34,404
Log4j1: Sync 326,894 105,591 57,036 30,511
Logback: Sync 178,063 65,000 34,372 16,903
For synchronous logging, I experimented with replacing DatePatternConverter
with a dummy impl, but this only increased throughput to 287,113 ops/sec.
> Create asynchronous Logger for low-latency logging
> --------------------------------------------------
>
> Key: LOG4J2-163
> URL: https://issues.apache.org/jira/browse/LOG4J2-163
> Project: Log4j 2
> Issue Type: Improvement
> Affects Versions: 2.0-beta4
> Reporter: Remko Popma
> Attachments: FastLog4j-v2-for-beta4.zip, FastLog4j-v3-for-beta4.zip,
> FastLog4j-v4-for-beta4.zip, LOG4J2-163-log4j-async-20130320.patch,
> LOG4J2-163-log4j-async.patch
>
>
> One of the main considerations for selecting a logging library is
> performance, specifically, how long it takes for a call to Logger.log to
> return. (See the comments of LOG4J-151 for a discussion of latency versus
> application throughput and logging throughput.)
> I believe it is possible to improve this performance by an order of magnitude
> by having an asynchronous Logger implementation that hands off the work to a
> separate thread as early as possible. The disk I/O would be done in this
> separate thread.
> AsynchAppender is not a good match for these requirements, as with that
> approach (a) the logging call still needs to flow down the hierarchy to the
> appender, doing synchronization and creating objects at various points on the
> way, and (b) when serializing the LogEvent, the getSource() method is always
> called, which is expensive.
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